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Robust H2 and H filtering for discrete-time uncertain Linear fractional transform systems

机译:离散时间不确定线性分数变换系统的稳健 H 2 H 滤波

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摘要

This study is concerned with the problem of robust and filtering for uncertain discrete-time linear systems. Two types of time-invariant parametric uncertainty, namely polytopic and ellipsoidal, are considered and represented by a linear fractional transformation structure. Obtained auxiliary variables by a convex optimisation problem, play the role of decoupling the Lyapunov variables and the robust filter parameters, in order to cast the problem into a linear matrix inequality-based optimisation problem. The design conditions are derived based on the quadratic separation concept and employing appropriate parameterisations for the corresponding set of multipliers. The merit of the methods presented in this study lies in their less conservatism than the existing methods for the polytopic uncertain systems, as well as presenting a new convex optimisation procedure for the robust filtering for the ellipsoidal uncertain systems.
机译:这项研究涉及不确定的离散时间线性系统的鲁棒性和滤波问题。考虑了两种时变参数不确定性,即多主题和椭圆形,并由线性分数变换结构表示。通过凸优化问题获得辅助变量,起到解耦Lyapunov变量和鲁棒滤波器参数的作用,以将问题转化为基于线性矩阵不等式的优化问题。设计条件是根据二次分离概念得出的,并为相应的乘数集采用了适当的参数设置。这项研究中提出的方法的优点在于,与多面体不确定系统的现有方法相比,它们的保守性更低,并且提出了一种新的凸优化程序,用于椭圆不确定系统的鲁棒滤波。

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